import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer


def 				lowerCAmelCase__       (			a__    ,     a__    ,     a__    ,     a__=1_024 )      ->Optional[Any]:




  '''simple docstring'''

  _UpperCamelCase      ,						_UpperCamelCase           =    [], []

  _UpperCamelCase           =    list(zip(a__    ,     a__ ) )
  _UpperCamelCase      ,						_UpperCamelCase           =    sorted_examples[0]

  def is_too_big(a__ ):
    return tok(a__    ,     return_tensors="pt" ).input_ids.shape[1] > max_tokens

  for src, tgt in tqdm(sorted_examples[1:] ):
    _UpperCamelCase           =    new_src + " " + src
    _UpperCamelCase           =    new_tgt + " " + tgt
    if is_too_big(a__ ) or is_too_big(a__ ):  # cant fit, finalize example
      finished_src.append(a__ )
      finished_tgt.append(a__ )
      _UpperCamelCase      ,						_UpperCamelCase           =    src, tgt
    else:  # can fit, keep adding
      _UpperCamelCase      ,						_UpperCamelCase           =    cand_src, cand_tgt

    # cleanup
  if new_src:
    assert new_tgt
    finished_src.append(a__ )
    finished_tgt.append(a__ )
  return finished_src, finished_tgt


def 				lowerCAmelCase__       (			a__    ,     a__    ,     a__    ,     a__ )      ->Dict:




  '''simple docstring'''

  _UpperCamelCase           =    Path(a__ )
  save_path.mkdir(exist_ok=a__ )
  for split in ["train"]:
    _UpperCamelCase      ,						_UpperCamelCase           =    data_dir / f'{split}.source', data_dir / f'{split}.target'
    _UpperCamelCase           =    [x.rstrip() for x in Path(a__ ).open().readlines()]
    _UpperCamelCase           =    [x.rstrip() for x in Path(a__ ).open().readlines()]
    _UpperCamelCase      ,						_UpperCamelCase           =    pack_examples(a__    ,     a__    ,     a__    ,     a__ )
    print(f'packed {split} split from {len(a__ )} examples -> {len(a__ )}.' )
    Path(save_path / f'{split}.source' ).open("w" ).write("\n".join(a__ ) )
    Path(save_path / f'{split}.target' ).open("w" ).write("\n".join(a__ ) )
  for split in ["val", "test"]:
    _UpperCamelCase      ,						_UpperCamelCase           =    data_dir / f'{split}.source', data_dir / f'{split}.target'
    shutil.copyfile(a__    ,     save_path / f'{split}.source' )
    shutil.copyfile(a__    ,     save_path / f'{split}.target' )


def 				lowerCAmelCase__       (			)      ->Optional[Any]:




  '''simple docstring'''

  _UpperCamelCase           =    argparse.ArgumentParser()
  parser.add_argument("--tok_name"    ,     type=a__    ,     help="like facebook/bart-large-cnn,t5-base, etc." )
  parser.add_argument("--max_seq_len"    ,     type=a__    ,     default=128 )
  parser.add_argument("--data_dir"    ,     type=a__ )
  parser.add_argument("--save_path"    ,     type=a__ )
  _UpperCamelCase           =    parser.parse_args()
  _UpperCamelCase           =    AutoTokenizer.from_pretrained(args.tok_name )
  return pack_data_dir(a__    ,     Path(args.data_dir )    ,     args.max_seq_len    ,     args.save_path )


if __name__ == "__main__":
   packer_cli()





def 				lowerCAmelCase__       (			a__ )      ->int:




  '''simple docstring'''

  if not isinstance(a__    ,     a__ ) or number < 0:
    raise ValueError("Input must be a non-negative integer" )

  _UpperCamelCase           =    0
  while number:
    # This way we arrive at next set bit (next 1) instead of looping
    # through each bit and checking for 1s hence the
    # loop won't run 32 times it will only run the number of `1` times
    number &= number - 1
    count += 1
  return count


if __name__ == "__main__":
   import doctest

   doctest.testmod()




